Capacity architecture
Translate model footprint, request shape, concurrency, context, resilience, and budget constraints into a documented compute, memory, storage, and network topology.
SCALABLE MODEL HOSTING / SEPARATE ENGAGEMENT
Blackfrost designs and implements model hosting around the artifact, workload, hardware, security boundary, and operating responsibility you actually have—not a generic infrastructure promise.
[ PRODUCT BOUNDARY ]
A Model Store purchase provides the licensed model-weight repository and the materials listed on that edition's product page. It does not include compute, an inference API, installation, hosting, deployment engineering, ongoing operations, or an SLA. Shadow CLI is a separate open-source Community project and is not bundled with either product.
[ HOSTING CAPABILITIES ]
Translate model footprint, request shape, concurrency, context, resilience, and budget constraints into a documented compute, memory, storage, and network topology.
Select and configure the serving runtime, precision, parallelism, batching, cache strategy, and container boundary for the exact model artifact and target hardware.
Build the service interface, health checks, configuration path, secrets boundary, infrastructure definitions, and repeatable release and rollback workflow.
Design admission control, queue behavior, autoscaling signals, routing, backpressure, failure isolation, and graceful degradation around the expected workload.
Instrument service health, request flow, saturation, failures, and resource use while defining access, audit, retention, and customer-data boundaries.
Exercise agreed traffic shapes and failure cases, record the tested configuration and known limits, and transfer implementation notes, runbooks, and recovery procedures.
CUSTOMER CLOUD
PRIVATE ENVIRONMENT
OPERATED SERVICE
[ DELIVERY PATH ]
Define the artifact, request shape, traffic range, response goals, resilience, security boundary, target environment, and operating owner.
Select the runtime, topology, API boundary, deployment path, capacity model, scaling signals, queue behavior, and failure controls.
Test the agreed workload and failure cases, record the configuration, and document observed constraints without turning estimates into guarantees.
Transfer scoped code, configuration, infrastructure definitions, evidence, runbooks, recovery procedures, and known limitations.
STARTING INPUTS
HOSTING THAT FITS THE MODEL AND THE MISSION